2022 UK Dynasty League - Week 1
Playoff Hunt
The hunt for the playoffs as it stands. All-play is the record if all teams were to play each other every week. xWins is the number of wins you would have expected so far based on the all-play record. The playoff and bye % is calculated by randomly assigning each team a weekly score (from any team) since the league began in 2019. 100 different seasons have been simulated using the wins to date and the remaining fixtures for each team. Strength of roster isn’t taken into account in these calculations.
| Position | Manager | Wins | Points | All-Play | xWins | Playoff % | Bye % |
|---|---|---|---|---|---|---|---|
| 6.5 | 0llie | 0.5 | 0 | 5.5-5.5 | 0.5 | 56 | 23 |
| 6.5 | benturvill61 | 0.5 | 0 | 5.5-5.5 | 0.5 | 51 | 15 |
| 6.5 | Bolmer | 0.5 | 0 | 5.5-5.5 | 0.5 | 49 | 13 |
| 6.5 | CantBuyABucket | 0.5 | 0 | 5.5-5.5 | 0.5 | 42 | 20 |
| 6.5 | DanCoulton | 0.5 | 0 | 5.5-5.5 | 0.5 | 48 | 20 |
| 6.5 | Dominichudson1986 | 0.5 | 0 | 5.5-5.5 | 0.5 | 53 | 29 |
| 6.5 | jhh82 | 0.5 | 0 | 5.5-5.5 | 0.5 | 51 | 14 |
| 6.5 | MajorNC | 0.5 | 0 | 5.5-5.5 | 0.5 | 54 | 18 |
| 6.5 | mikepearson | 0.5 | 0 | 5.5-5.5 | 0.5 | 51 | 14 |
| 6.5 | Pindeco | 0.5 | 0 | 5.5-5.5 | 0.5 | 58 | 10 |
| 6.5 | splangtree | 0.5 | 0 | 5.5-5.5 | 0.5 | 43 | 9 |
| 6.5 | Tomcoulton10 | 0.5 | 0 | 5.5-5.5 | 0.5 | 44 | 15 |
Wins over expectation (WOE) looks at the relationship between actual wins and all-play wins. This shows how lucky or unlucky a team has been with the schedule.
Teams above the black line have been more fortunate with their schedule and teams below have been unlucky with the opponents they have faced.
0llie, benturvill61, Bolmer, CantBuyABucket, DanCoulton, Dominichudson1986, jhh82, MajorNC, mikepearson, Pindeco, splangtree, Tomcoulton10 has been the luckiest so far, with 0 more wins than expected.
0llie, benturvill61, Bolmer, CantBuyABucket, DanCoulton, Dominichudson1986, jhh82, MajorNC, mikepearson, Pindeco, splangtree, Tomcoulton10 can feel hard done by, with 0 fewer wins than expected.
Story of the Season
The following chart shows the performance of each team as the season has progressed. This is calculated as the xWins for each week minus the average wins each week (0.5). This strips out any influence of matchup and purely looks at your points position in a given week.
For example, an increasing line in the first half of the season followed by a decreasing line over the second half would signify good performance to start the year, but a poor run to end the season.
League Position Tracker
The next table tracks the league position by week for each team in the league. To isolate a single team’s record, double click on the legend on the right.
Matchup Importance
The following table shows the importance of the next matchup for each manager. Win shows the Playoff % if the matchup is won, and Loss shows the chances with a loss. The Current % is the playoff probability before week 2 takes place. The size of the bar represents the importance of the matchup for each team.
Using this information, we can calculate the importance of each matchup in week 2. The numbers shown give the average playoff leverage for each matchup.
| MajorNC | 23.0 | mikepearson |
| Tomcoulton10 | 18.8 | DanCoulton |
| splangtree | 17.6 | 0llie |
| jhh82 | 16.4 | Bolmer |
| Pindeco | 12.3 | Dominichudson1986 |
| benturvill61 | 10.1 | CantBuyABucket |
Potential Points
The following table shows the potential points that could have been scored if the perfect squad had been played. The wins column shows how many wins each manager would have if every team played their perfect selection each week.
| Rank | Manager | Wins | Points |
|---|---|---|---|
| 1 | 0llie | 0.5 | 0 |
| 2 | benturvill61 | 0.5 | 0 |
| 3 | Bolmer | 0.5 | 0 |
| 4 | CantBuyABucket | 0.5 | 0 |
| 5 | DanCoulton | 0.5 | 0 |
| 6 | Dominichudson1986 | 0.5 | 0 |
| 7 | jhh82 | 0.5 | 0 |
| 8 | MajorNC | 0.5 | 0 |
| 9 | mikepearson | 0.5 | 0 |
| 10 | Pindeco | 0.5 | 0 |
| 11 | splangtree | 0.5 | 0 |
| 12 | Tomcoulton10 | 0.5 | 0 |
The matchups for week 1 are shown below, along with the potential points for each matchup.
| splangtree | 0 | 0 | Dominichudson1986 |
| Pindeco | 0 | 0 | 0llie |
| Tomcoulton10 | 0 | 0 | jhh82 |
| DanCoulton | 0 | 0 | Bolmer |
| mikepearson | 0 | 0 | CantBuyABucket |
| MajorNC | 0 | 0 | benturvill61 |
Projected Draft Picks
The 4 rounds of the 2023 rookie draft are shown below, using the potential points order as at today.
Round 1
| Pick | Owner | Original Owner |
|---|---|---|
| 1 | Tomcoulton10 | |
| 2 | splangtree | |
| 3 | Pindeco | |
| 4 | mikepearson | |
| 5 | MajorNC | |
| 6 | jhh82 | |
| 7 | Dominichudson1986 | |
| 8 | DanCoulton | |
| 9 | Bolmer | CantBuyABucket |
| 10 | Bolmer | |
| 11 | benturvill61 | |
| 12 | 0llie |
Round 2
| Pick | Owner | Original Owner |
|---|---|---|
| 1 | Tomcoulton10 | |
| 2 | splangtree | |
| 3 | Pindeco | |
| 4 | mikepearson | |
| 5 | MajorNC | |
| 6 | jhh82 | |
| 7 | Dominichudson1986 | |
| 8 | DanCoulton | |
| 9 | Bolmer | CantBuyABucket |
| 10 | Bolmer | |
| 11 | benturvill61 | |
| 12 | 0llie |
Round 3
| Pick | Owner | Original Owner |
|---|---|---|
| 1 | Tomcoulton10 | |
| 2 | splangtree | |
| 3 | Pindeco | |
| 4 | mikepearson | |
| 5 | MajorNC | |
| 6 | CantBuyABucket | jhh82 |
| 7 | Dominichudson1986 | |
| 8 | DanCoulton | |
| 9 | CantBuyABucket | |
| 10 | Bolmer | |
| 11 | benturvill61 | |
| 12 | 0llie |
Round 4
| Pick | Owner | Original Owner |
|---|---|---|
| 1 | Tomcoulton10 | |
| 2 | splangtree | |
| 3 | Pindeco | |
| 4 | mikepearson | |
| 5 | MajorNC | |
| 6 | jhh82 | |
| 7 | Dominichudson1986 | |
| 8 | DanCoulton | |
| 9 | CantBuyABucket | |
| 10 | Bolmer | |
| 11 | benturvill61 | |
| 12 | 0llie |
Roster Comparison
Dynasty
The value of each roster has been calculated using crowdsourced values from KeepTradeCut. A value is calculated for each player and these are totaled.
Draft picks for the next 2 years are also included in the estimate, but given how difficult it is to value future picks, these have been assumed to fall in the middle of the given round.
Contender
The following chart uses a similar concept, but looks at the value of the squad for this season. The chart above will take into account the long term value of a player, whereas this chart purely looks at squad value for the remainder of this season. Any injuries will affect the value and immediate competitiveness of each team.
Roster Maturity
This chart shows the spread of ages on each roster within the league. The narrower the box, the more concentrated the ages are, and the larger boxes will have a wide spread of ages.